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     <H2> What lexical wide coverage resources can do for parsing </H2>
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      Syntactic parsing is a process of uncovering the internal structure of
      sentences, in particular, a process of establishing what the
      constituents are of a given sentence and what the relations are between
      them.  This is an important task in natural language processing.  Recent
      advances in the field of Lexical semantics include the development of
      open online ontologies describing the use, meaning, and functions of words.  
      <A HREF="http://wordnet.princeton.edu/">WordNet</A>, 
      <A HREF="http://verbs.colorado.edu/~mpalmer/projects/verbnet.html">VerbNet</A>, 
      <A HREF="http://verbs.colorado.edu/~mpalmer/projects/ace.html">PropBank</A>
      are only a few of the currently available resources.
      The arrival of these large scale lexical databases brings new
      opportunities of refining modern parsing technology. Indeed,
      wide-coverage systematic lexico-semantic information is available
      and ready to use. In this project, we look to bring automated reasoning
      built on lexical knowledge into language processing. In
      particular, we explore how information available via WordNet and
      VerbNet can enhance solutions to resolving prepositional phrase
      attachment -- a notorious problem in syntactic parsing.  
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     <H2> Prepositional Attachment Using VerbNet and WordNet Ontologies </H2>
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     <H2> Using WordNet for Inherited Meronymy </H2>
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